Realize self-service BI with choice and flexibility

Ensure your BI solution meets everyone where they are and grows with them. The Google Cloud BI solution’s tight integrations between BigQuery, Google Data Studio, and Sheets, and partnerships with familiar BI and ETL vendors translates to choice and flexibility. Use either Cloud Dataflow or a partner tool to ingest any type of data for analysis, then choose how you derive insights. Perform simple calculations in Sheets, visual analytics in Data Studio or a partner tool, or run a complex SQL query in the BigQuery UI. Finally, consumption-based or flat-rate pricing flexibility in BigQuery combined with Data Studio’s free licensing translates to real savings.

Visualize and explore data, your way

Turn your data into compelling visuals with out-of-the-box, community-built, or your own custom visualizations. Once ready for distribution, drop them into your dashboards, reports, or data stories and get blazing fast insights when they’re connected to BigQuery, Google’s massively-parallel analytics data warehouse. BigQuery runs on the same infrastructure as all of Google so you can explore and visualize data at a scale not possible with legacy data warehouses.

Create a collaborative, data-driven culture

Activate data insights at all levels in your business to promote a pervasive and collaborative data culture. With Data Studio’s sharing model built on Google Drive, teams can instantly start collaborating in real time, accelerated by a gallery of pre-built report templates. Interactive data stories that inspire action are a breeze to create and publish by anyone. Besides embedding dashboards and reports into internal apps or websites, developers can securely embed analytics into their customer-facing apps.

Empower your team with predictive analytics

Empower analysts fluent in SQL to seamlessly transition from descriptive to predictive analytics. Using Cloud Dataprep, you can visually prepare your data for ML projects. With BigQuery MLBETA you can use familiar SQL to build and train machine learning models over large data sets in BigQuery without needing to move it. Further empowering those with SQL fluency, BigQuery GISALPHA provides support for geospatial data types and functions within BigQuery. You can now analyze and operate on any data with spatial attributes and easily visualize results on a map.

We knew data was a big part of making decisions in the future. So we needed a platform that could scale to meet our growing appetite for it. Google Cloud Platform — in particular Google BigQuery — was ideal for this task.

Industry recognition

Forrester Research names Google Cloud a leader in Insight PaaS

Google Cloud has been named as a leader in the Forrester Wave™: Insight Platforms-as-a-Service, Q3 2017, receiving the highest score among all evaluated vendors in both the current offerings and strategy categories.

Your analytical data infrastructure matters

“Google is a Technology Leader in the Customer Experience Model and an Overall Leader in the Vendor Credibility Model. It is best in class for product completeness of functionality and
reliability of technology. It has a perfect recommend score.”